Stanford scientists have devised a way to use positron emission tomography to watch the movement of a single cell injected into a lab mouse in real time.
Scientists created an algorithm that analyzes a cancer biopsy and pairs spatial information with gene expression to better understand the disease.
In U.S. hospitals, the frequency of brain imaging for acute stroke patients dipped, suggesting hesitancy to seek medical care for non-COVID-19 conditions.
Using microbubbles and ultrasound, researchers have created a cancer treatment that kills tumor cells and recruits immune cells to the tumor.
A team of Stanford scientists have devised a new imaging technology that harnesses ultrasound and photoacoustics to detect prostate cancer earlier.
Stanford researchers watch in real time bacteria building their protective outer shell. Their findings may help develop treatments for bacterial pathogens.
If physicians follow the guidelines for patients with leg and lower back pain and wait before getting MRIs, it could save half a billion dollars a year.
Small trial conducted by Stanford researchers links activity in the brain's reward processing system with drug relapse in patient cohort.
Researchers led by Daniel Palanker have discovered that an imaging technique known as interferometry could be used to monitor neuron behavior.
Scientists modify a well-established imaging technique using gold nanoparticles to see swaths of tissue at a single-cell level.
Scientists create algorithms that read X-rays and MRIs in an effort to enhance doctor's diagnoses of certain disease and injury.
Stanford innovators have created ways to fit MRI scanning equipment to kids instead of the other way around. Adult patients can benefit, too.
A new imaging technology that harnesses fluorescence allows scientists to detect tuberculosis in an hour and to measure drug efficacy.
A recent lecture by clinician-researcher Daniel Bernstein highlighted an imaging technique for assessing the diverse ways mitochondria behave within heart cells.
New technology developed at Stanford Medicine automatically identifies cell types and provides view of how cells interact with their environment.
Children with autism have structural and functional abnormalities in the brain circuit that normally makes social interaction feel rewarding.